二阶时滞系统的结构修剪二次最优控制设计。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-01-01 DOI:10.1016/j.isatra.2023.10.021
Canxian Li, Hui Zhang, Qinruo Wang
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引用次数: 0

摘要

为了有效地控制一类二阶加时延(SOPTD)系统,基于二次最优控制(TOC)和构造修剪(CP)方法,提出了一种SOPTD-TOCCP控制器,该控制器具有较强的鲁棒性和良好的设定点跟踪性能。SOPTD的TOC控制器是在经典级联控制器和扩展状态观测器(ESO)的基础上设计的。提出了一种快速准确的方法来帮助工程师获得最佳时间尺度,这是调节控制性能的最关键参数。研究了不同参数灵敏度对SOPTD的影响。此外,针对SOPTD系统,提出了一种新的鲁棒增强方法。提出了一种用于SOPTD系统的构造修剪方法,以进一步提高控制性能,特别是鲁棒性。最后,与其他控制方法的比较表明,SOPTD-TOCCP控制器简单、可靠、通用,可以获得更好的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Twice-optimal control design with construction pruning for second order plus time delay systems

To effectively control a class of second-order plus time delay (SOPTD) systems, based on twice-optimal control (TOC) and construction pruning (CP) methods, an SOPTD-TOCCP controller is proposed, which can achieve strong robustness and excellent set-point tracking performance. The TOC controller of the SOPTD is designed based on a classical cascade controller and an extended state observer (ESO). A fast and accurate method is proposed to help engineers obtain the optimal time scale, which is the most critical parameter for regulating control performance. The influence of different parameter sensitivities on SOPTD is studied. In addition, a new robust enhancement method is proposed for SOPTD systems. A construction pruning method for SOPTD systems is proposed to further improve control performance, particularly robustness. Finally, a comparison with other control methods demonstrates that the SOPTD-TOCCP controller is simple, reliable, and versatile and can achieve better control performance.

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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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